conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

'10

'15

'20

'25

Papers (including subtopics)

Chain of Thought Prompting Elicits Knowledge Augmentation ACL 2023 Characterizing Internal Evasion Attacks in Federated Learning AISTATS 2023 ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity? ACL 2023 CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients EMNLP 2023 Chick Adams at SemEval-2023 Task 5: Using RoBERTa and DeBERTa to Extract Post and Document-based Features for Clickbait Spoiling SemEval 2023 Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning ICCV 2023 ChiPFormer: Transferable Chip Placement via Offline Decision Transformer ICML 2023 CITB: A Benchmark for Continual Instruction Tuning EMNLP 2023 CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis SemEval 2023 CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection AAAI 2023 CLaC at SemEval-2023 Task 3: Language Potluck RoBERTa Detects Online Persuasion Techniques in a Multilingual Setup SemEval 2023 Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification ICCV 2023 Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning CVPR 2023 Class-Incremental Learning based on Label Generation ACL 2023 Class-relation Knowledge Distillation for Novel Class Discovery ICCV 2023 CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence NeurIPS 2023 Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023 CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training ICCV 2023 CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection NeurIPS 2023 CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection ICCV 2023 CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation ICCV 2023 CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment ICLR 2023 CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text EMNLP 2023 Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World CVPR 2023 Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023